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Peta-Scale Data Warehousing at Yahoo!

Summary: EVEREST is a SQL-compliant, parallel data warehouse for Yahoo!, built on a columnar architecture with commodity hardware. Unlike commercial engines, it delivers scale, analytics, and lower admin costs, in production since 2007, managing six PB. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hd44ed7343fe54904
Venue
SIGMOD
Year
2009
Pagerank
5.7965266e-05
Overall Rank
6,402 | 56.96%
DOI
10.1145/1559845.1559935

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ahuja_sigmod09,
        title = {{Peta-Scale Data Warehousing at Yahoo!}},
        author = {Ahuja, Mona and Chen, Cheng Che and Gottapu, Ravi and Hallmann, Jörg and Hasan, Waqar and Johnson, Richard and Kozyrczak, Maciek and Pabbati, Ramesh and Pandit, Neeta and Pokuri, Sreenivasulu and Uppala, Krishna},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1559935},
        url = {https://dl.acm.org/doi/10.1145/1559845.1559935},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,924 ReStore: Reusing Results of MapReduce Jobs 2012 VLDB 9.3687009e-05
4,552 Consistency in a Stream Warehouse 2011 CIDR 6.5395788e-05
9,292 Data Stream Warehousing 2013 SIGMOD 5.2002645e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,127 Simultaneous Optimization and Evaluation of Multiple Dimensional Queries 1998 SIGMOD 0.00011918964
Previous Page 1 / 1 Next

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